Description
Tabnine is an AI code assistant built for the enterprise, designed to accelerate and simplify software development while keeping code private, secure, and compliant. It emphasizes context: its Enterprise Context Engine learns an organization's architecture, frameworks, and coding standards so that AI suggestions align with the team's security, compliance, and performance requirements.
The platform brings that context into the developer workflow through its AI coding suite, and makes it available to any agent or tool through the standalone Enterprise Context Engine, across preferred models, IDEs, and deployment environments. This helps AI operate reliably in real production environments with mixed stacks and legacy systems.
Tabnine can be deployed anywhere, including SaaS, on-premises, or fully air-gapped, keeping everything inside for mission-critical and highly secure teams. It provides an AI control plane with centralized visibility, granular access controls, policy enforcement, and full auditability across users, teams, and workspaces. Tabnine is used by millions of developers and was named a Visionary in the 2025 Gartner Magic Quadrant for AI Code Assistants.
Tabnine's Core Features
AI code completion and chat
Enterprise Context Engine that learns your architecture and standards
Context available to any agent or tool across models and IDEs
SaaS, on-premises, and fully air-gapped deployment options
Centralized visibility and granular access controls
Policy enforcement and full auditability
Code privacy and IP protection
Support for mixed stacks and legacy systems
How to use Tabnine?
Choose a deployment: Select SaaS, on-premises, or air-gapped to fit your security needs.
Connect your IDE: Install Tabnine in your preferred IDE and models.
Add context: Let the Enterprise Context Engine learn your architecture, frameworks, and standards.
Code with assistance: Use context-aware completions, chat, and agents in your workflow.
Govern usage: Apply access controls, policies, and auditability across teams and workspaces.
Tabnine's Use Cases
- Enterprise AI coding
- Secure and air-gapped teams
- Context for agents
- Governed AI rollout







